QUB in IRAIA: Visualizing Information and Information
IRAIA - Getting Orientation in Complex Information Spaces as an
Emergent Behavior of Autonomous Information Agents,
Fifth Framework project IST-1999-10602, from March 2000.
QUB IRAIA Project Area
- Report, "Information Visualization Through the Market", T. Taskaya.
In Word (13 MB).
In PDF (700 kB).
- A few self-organizing feature maps (by Ph. Poinçot):
Some AML (Astronomical Markup Language) maps (by D. Guillaume):
- PhD Thesis, Ph. Poinçot,
1999, "Classification et recherche d'information
bibliographique par l'utilisation des cartes
auto-organisatrices, applications en astronomie". Application
of Kohonen nets to bibliographic data, based on index terms from
controlled list. (Chapters in PDF and compressed Postscript.)
- PhD Thesis, D. Guillaume,
January 2000, "Distributed Information Retrieval, Search and
Processing in Astronomy". Definition of an AML, Astronomy Markup Language.
"AML Maps" - clickable interactive information maps of distributed
multiple object data (e.g. author names, bibliographic titles, object
names, images, catalogs), based on weighted links.
- "Clustering of XML
documents", D. Guillaume and F. Murtagh, Computer Physics Communications,
127, 215-227, 2000.
- "Metadata: A discussion paper", F.
Murtagh, July 1999.
- "Information self-organization for knowledge
discovery", Tao Feng and F. Murtagh, compressed Postscript.
Uncompressed Postscript. For presenatation at
International Workshop on Management of Information on the Web -
Methodologies and Applications, Greenwich, London, 6-8 September, 2000.
A short version of this paper will appear in the proceedings, to be
published by IEEE Computer Society Press.
"Maps of information spaces: assessments from astronomy" (compressed
Postscript), Ph. Poinçot, S. Lesteven and F. Murtagh,
Journal of the American Society for Information Science, 2000,
- Towards Data Objects in Other Topologies.
- We have in mind primarily the handling of search paths based on a
thesaurus structure. How do we best
map such a tree onto a visual user interface
- The links between geometric projection and trees are well known:
R.N. Shepard, "Multidimensional scaling, tree-fitting and
clustering", Science, 210, 390-398, 1980.
- In the following, image analysis of ultrametric space data is
F. Murtagh, J.L. Starck and M. Berry, "Overcoming the curse of
dimensionality in clustering
by means of the wavelet transform", The Computer Journal, 43, 107-120, 2000.
in gzipped postscript 1.5MB.
"From concept hierarchies to images" (report), in MS Word.
Last update: 2002-2-12. Contact:
Image and Vision Systems, Queen's
University of Belfast